Tommaso Salvatori

673 total citations
13 papers, 96 citations indexed

About

Tommaso Salvatori is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tommaso Salvatori has authored 13 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Tommaso Salvatori's work include Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Applications (3 papers). Tommaso Salvatori is often cited by papers focused on Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Applications (3 papers). Tommaso Salvatori collaborates with scholars based in United Kingdom, Austria and Germany. Tommaso Salvatori's co-authors include Thomas Lukasiewicz, Rafał Bogacz, Yuhang Song, Beren Millidge, Zhenghua Xu, Thomas Parr, Tim Verbelen, Alexander Tschantz, Karl Friston and Adeel Razi and has published in prestigious journals such as Nature Neuroscience, PLoS Computational Biology and Neural Computation.

In The Last Decade

Tommaso Salvatori

11 papers receiving 96 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tommaso Salvatori United Kingdom	7	52	33	24	17	7	13	96
Christopher Langdon United States	3	59 1.1×	17 0.5×	12 0.5×	20 1.2×	11 1.6×	4	83
Lea Duncker United States	4	89 1.7×	39 1.2×	16 0.7×	33 1.9×	5 0.7×	5	109
Jascha Achterberg United Kingdom	5	48 0.9×	23 0.7×	28 1.2×	8 0.5×	3 0.4×	10	122
Jack Lindsey United States	4	61 1.2×	15 0.5×	13 0.5×	30 1.8×	11 1.6×	14	92
Ben Sorscher United States	5	86 1.7×	32 1.0×	12 0.5×	33 1.9×	3 0.4×	7	120
Mikail Khona United States	2	82 1.6×	23 0.7×	18 0.8×	26 1.5×	7 1.0×	4	112
Runzhe Yang United States	7	17 0.3×	66 2.0×	11 0.5×	23 1.4×	4 0.6×	12	132
João Sacramento Switzerland	6	55 1.1×	54 1.6×	31 1.3×	27 1.6×	5 0.7×	15	103
Thomas Mesnard France	3	34 0.7×	25 0.8×	28 1.2×	14 0.8×	3 0.4×	4	55
Einat Kermany Israel	5	77 1.5×	24 0.7×	34 1.4×	68 4.0×	10 1.4×	5	112

Countries citing papers authored by Tommaso Salvatori

Since Specialization

Citations

This map shows the geographic impact of Tommaso Salvatori's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tommaso Salvatori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommaso Salvatori more than expected).

Fields of papers citing papers by Tommaso Salvatori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tommaso Salvatori. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tommaso Salvatori. The network helps show where Tommaso Salvatori may publish in the future.

Co-authorship network of co-authors of Tommaso Salvatori

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Salvatori. A scholar is included among the top collaborators of Tommaso Salvatori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tommaso Salvatori. Tommaso Salvatori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Friston, Karl, Thomas Parr, Conor Heins, et al.. (2025). Gradient-Free De Novo Learning. Entropy. 27(9). 992–992.

Friston, Karl, Conor Heins, Tim Verbelen, et al.. (2025). From pixels to planning: scale-free active inference. PubMed. 5. 1521963–1521963. 4 indexed citations

Friston, Karl, Tommaso Salvatori, Takuya Isomura, et al.. (2025). Active Inference and Intentional Behavior. Neural Computation. 37(4). 666–700. 7 indexed citations

Friston, Karl, Lancelot Da Costa, Alexander Tschantz, et al.. (2024). Supervised structure learning. Biological Psychology. 193. 108891–108891. 12 indexed citations

Ororbia, Alexander G., et al.. (2024). A Review of Neuroscience-Inspired Machine Learning. OSF Preprints (OSF Preprints). 4 indexed citations

Song, Yuhang, Beren Millidge, Tommaso Salvatori, et al.. (2024). Inferring neural activity before plasticity as a foundation for learning beyond backpropagation. Nature Neuroscience. 27(2). 348–358. 24 indexed citations

Ororbia, Alexander G., et al.. (2024). A Review of Neuroscience-Inspired Machine Learning. arXiv (Cornell University). 1 indexed citations

Salvatori, Tommaso, et al.. (2023). Recurrent predictive coding models for associative memory employing covariance learning. PLoS Computational Biology. 19(4). e1010719–e1010719. 10 indexed citations

Millidge, Beren, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, & Rafał Bogacz. (2022). Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.. PubMed. 162. 15561–15583. 5 indexed citations

10.

Salvatori, Tommaso, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, & Rafał Bogacz. (2022). Reverse Differentiation via Predictive Coding. PubMed. 36(7). 8150–8158. 10 indexed citations

11.

Salvatori, Tommaso, et al.. (2022). Learning on Arbitrary Graph Topologies via Predictive Coding.. PubMed. 35. 38232–38244. 9 indexed citations

12.

Millidge, Beren, Tommaso Salvatori, Yuhang Song, Rafał Bogacz, & Thomas Lukasiewicz. (2022). Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5538–5545. 10 indexed citations

13.

Salvatori, Tommaso. (2021). Giuliano Imperatore e Diodoro (ep. 90 Bidez). Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 78(1).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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